| Presentation | 2012-11-07 Structure Learning for Anomaly Localization Satoshi HARA, Takashi WASHIO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a graphical model learning algorithm for an anomaly localization. We introduce a new regularization term that penalizes the row/column-wise difference between two precision matrices and formulate the task as a convex optimization problem. We further provide an optimization algorithm based on an alternating direction method. The validity of the proposed method is presented through a simulation using a real world data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Anomaly Localization / Graphical Gaussian Model / Alternating Direction Method of Multipliers |
| Paper # | IBISML2012-36 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2012/10/31(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Structure Learning for Anomaly Localization |
| Sub Title (in English) | |
| Keyword(1) | Anomaly Localization |
| Keyword(2) | Graphical Gaussian Model |
| Keyword(3) | Alternating Direction Method of Multipliers |
| 1st Author's Name | Satoshi HARA |
| 1st Author's Affiliation | The Institute of Scientific and Industrial Research (ISIR), Osaka University() |
| 2nd Author's Name | Takashi WASHIO |
| 2nd Author's Affiliation | The Institute of Scientific and Industrial Research (ISIR), Osaka University |
| Date | 2012-11-07 |
| Paper # | IBISML2012-36 |
| Volume (vol) | vol.112 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |